Role Description Nous recherchons un·e Platform Engineering Manager pour diriger et faire grandir notre équipe plateforme, tout en gardant une vraie prise sur la direction technique. Tu seras responsable d'une équipe de trois platform engineers confirmés / seniors, et ta mission sera de : - Rendre l'équipe plus efficace ainsi que l'ensemble de l'organisation engineering. - Livrer une infrastructure fiable, sécurisée et scalable. - Permettre aux équipes produit d'avancer vite grâce à de solides capacités en self-service. C'est un rôle de player-coach. Tu passeras l'essentiel de ton temps à : - Manager : coacher les ingénieurs, poser les standards, porter la roadmap plateforme et travailler avec les parties prenantes. - Rester proche de la technique pour relire le travail, faire du pairing quand ça compte, et prendre des décisions d'architecture solides avec ton équipe. Tu seras garant·e de : - La fiabilité, de la sécurité, de la performance et des coûts sur les environnements cloud comme on-premise. - Faire évoluer en continu la plateforme et les compétences de l'équipe face aux technologies qui changent. Qualifications - Expérience de management ou d'encadrement d'ingénieurs, idéalement incluant des profils seniors / confirmés. - Capacité à fixer le niveau technique et à le tenir. - Solides compétences en communication. - Expérience significative en production sur AWS avec des technologies de conteneurs. - Solide expérience en production avec Kubernetes en contexte on-premise / cloud privé. - Très bonne connaissance du networking. - Bonne connaissance des systèmes Linux. - Compétences en programmation et architecture de code. - Pratiques de Test-Driven Development. - Expérience en production sur la gestion des releases. - Expérience en production sur le monitoring et l'alerting. - Expérience en production sur la gestion de bases de données. - Connaissance de base des frameworks de conformité sécurité. Requirements - Diriger, coacher et faire grandir une équipe de trois platform engineers confirmés / seniors. - Poser et relever le niveau technique via les revues, le pairing et des standards d'ingénierie clairs. - Porter le recrutement de l'équipe et façonner sa montée en charge dans le temps. - Construire un environnement sain, autonome et basé sur la confiance. - Porter la roadmap plateforme et la vision technique. - Livrer les changements d'infrastructure par l'automatisation. - Permettre aux ingénieurs de se concentrer sur le développement produit. - Adapter les capacités organisationnelles et de la plateforme aux évolutions technologiques. - Collaborer avec les parties prenantes engineering, produit et sécurité. - Communiquer clairement via la documentation et les décisions techniques. Benefits - Un environnement de travail dynamique et collaboratif. - Opportunités de développement professionnel. - Flexibilité dans les horaires de travail. - Accès à des technologies de pointe. Company Description Fabriq est une entreprise innovante qui se concentre sur la création de solutions technologiques avancées pour ses clients.

• Lead and develop a team of Customer Solutions Engineers across the APJ regions, ensuring high-quality technical support for enterprise customers. • Strategize and implement support processes to enhance support operations, facilitating smooth and efficient issue resolution. • Foster a culture of continuous learning and professional growth within your team, ensuring they are equipped to support the evolving landscape of dbt Cloud and the modern data stack. • Collaborate with cross-functional teams to enhance customer satisfaction, drive product adoption, and ensure a seamless customer experience. • Monitor and analyze team performance, providing regular feedback and coaching to improve efficiency and effectiveness. • Advocate for customers within the organization, ensuring their needs and feedback influence product development and innovation. • Lead by example, offering hands-on support and guidance to both customers and team members, driving towards excellence in every interaction.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers focused primarily on Hivemind on V-BAT, with growing scope on Hivemind on X-BAT — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of a major capability or program. A defining part of this role is working in extreme partnership with the aircraft team that builds and maintains V-BAT and X-BAT — the relationship and tight coordination with them is critical to your team's success. You'll also partner closely with the Autonomy Capabilities, Perception, and GCS teams, feature crews, customer/program offices, the operator community that flies V-BAT today, and prospective customers for X-BAT as the new platform matures. This portfolio has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services — and you'll set the pace for your team accordingly. What you'll do: - Lead the Team — Manage a small-to-mid-sized engineering team (typically 5–10 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. - Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. - Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. - Aircraft Team Partnership — Maintain an exceptionally close, daily working relationship with the aircraft team that builds and maintains V-BAT — coordinating continuously on platform changes, autopilot interface evolution, sensor integration, hardware/software compatibility, and release planning. For X-BAT, work closely with the aircraft team to define and integrate the flight-autonomy interface. The success of this role depends heavily on these partnerships. - Develop & Field Autonomy — Develop & integrate autonomy software solutions onto V-BAT, including payload and sensor integration (e.g., payload computer bring-up, ViDAR, EO/IR), integration with the custom V-BAT autopilot and its control modes (e.g., HSA, waypoint), multi-agent coordination, and customer release cadence — and lead a small team through the design, development, and delivery of a major capability or program. - Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. - Hands-on Technical Contribution — Stay active in the code; contribute directly where it serves the team — prototyping new capabilities, taking on deep technical analysis of hard problems, or absorbing critical work during demo crunch. This is a manager role, not a managing-only role. - Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, the GCS team, feature crews, the Strategic Systems (ACP) portfolio (whose existing mission autonomy solution underpins X-BAT), and customer/program offices (U.S. and international services); author and negotiate ICDs and interface contracts rather than just consume them. - Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. - Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and customer releases; coordinate hardware/software compatibility, mission readiness, release cadence, and operator-facing workflow validation with capability and feature teams. - On-site Test & Mission Support — Travel to test sites, customer exercises, and operator training/deployment events to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations, and fielded operator support), including safety checks, system bring-up, and troubleshooting under time-critical constraints. - Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. - Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. - Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. - C2 Interoperability & Standards — Own the interface contracts with GCS and C2 providers and drive compliance against common message and open-systems standards (e.g., STANAG 4586, UCI, OMS). - Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, operator training and deployment events, and integration events). Required qualifications: - BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience - Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. - 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning). - Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers. - Track record of mentoring engineers and growing their technical skill and career trajectory. - Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. - Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. - Direct experience with Group 3 unmanned aircraft, VTOL platforms, or comparable medium-sized unmanned systems. - Experience with multi-agent autonomy. - Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. - Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. - Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). - Hands-on experience supporting live exercises, customer demonstrations, or operational test events for medium unmanned aircraft or fielded autonomous systems. - Experience with autonomy simulation environments for testing and validation. - Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. - Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. - Ability to obtain a SECRET clearance. Preferred qualifications: - Direct experience integrating autonomy with custom or in-house autopilot stacks at the platform integration level. - Experience integrating autonomy with VTOL or hybrid-mode aircraft across multiple control interfaces (e.g., high-level state, waypoint). - Experience with EO/IR or ViDAR-class sensor integration. - Experience with long-endurance ISR mission profiles. - Proficiency in Python for scripting, automation, and analysis. - Experience leading a feature crew, sub-program, or small team in an unmanned systems context. - Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework. - Experience deploying autonomy onto fielded, customer-operated platforms — including operator workflow iteration, release cadence, and customer feedback loops. - Experience iterating directly with fielded military operators or training cadres. - Experience supporting international defense customer programs (FMS or direct commercial sales). - Experience owning customer- or partner-facing technical relationships (e.g., autopilot teams, GCS teams, government program offices). - Track record of cross-team improvements (process, rigor, documentation, or developer experience). - Familiarity with autonomy stacks, motion planning, or vehicle-control integration. - Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging. - Experience developing for or deploying onto ARM-based systems (e.g., embedded payload computers). - Experience with containerization (e.g., Docker) on embedded or payload compute. - Proficiency in developing automation tools for system testing, logging, and data parsing. - Experience developing custom GCS or mission planning surfaces (e.g., TypeScript / web-based applications). - Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. - Comfortable interfacing with DoD stakeholders during field events or technical reviews. - Experience with common message and open-systems standards such as STANAG 4586, UCI, or OMS. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Autonomous Pilot Integration team for emerging domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios — including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts — often standing up the first autonomy on a brand-new platform or for a brand-new mission — with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK — selectively leveraging existing Shield AI autonomy solutions where they apply — to develop autonomy that runs on these new platforms. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers tackling autonomy across Shield AI's emerging-domain efforts — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of efforts that may shift in shape, scope, and timeline. This role demands a problem solver who thrives in the unknown — you'll be standing up first autonomy on platforms that often don't have an established autopilot interface, mission autonomy, or operator base yet, and you'll be comfortable with priorities and deadlines that shift as programs mature. You'll partner closely with the platform teams that build each new piece of hardware (spacecraft, vessel, helicopter, etc.), the Autonomy Capabilities, Perception, and GCS teams, and customer/program offices on each effort. Success here means turning short-term R&D and integration efforts into longer-term programs that scale — with the growth opportunity, if desired, to lead the new portfolios that emerge from this work as they mature and graduate from emerging domains. What you'll do: - Lead the Team — Manage an engineering team (typically 5–10 engineers spanning multiple emerging-domain efforts); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. - Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. - Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. - Stand Up New Programs — Stand up autonomy on new platforms and missions — often as the first autonomy engineering presence on the program. Define what the autonomy stack looks like, decide what to build versus what to leverage from existing Shield AI capabilities, and set the technical direction for the effort. - Navigate Ambiguity & Shifting Priorities — Operate effectively in an environment where program shape, scope, and timeline often shift. Make sound technical and staffing decisions with incomplete information, communicate changes clearly to your team and stakeholders, and protect engineering velocity through churn. - Develop & Field Autonomy — Develop & integrate autonomy software solutions onto emerging-domain platforms — satellites, USVs/UUVs, unmanned helicopters, and similar — including platform and autopilot integration, payload and sensor integration, mission behaviors, and validation across software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, and live test events. Lead a small team through the design, development, and delivery of each effort. - Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. - Hands-on Technical Contribution — Stay active in the code; contribute directly where it serves the team — prototyping new capabilities, taking on deep technical analysis of hard problems, or absorbing critical work during demo crunch. This is a manager role, not a managing-only role. - Platform Team Partnerships — Build strong partnerships with each platform team that owns the underlying hardware (spacecraft, vessel, rotorcraft, or other autonomous system) — coordinating on platform changes, autopilot or control-interface evolution, sensor integration, and release planning. Relationships and tight coordination with these teams are critical for success on each new program. - Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices (U.S. and international); author and negotiate ICDs and interface contracts rather than just consume them. - Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams. - Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and platform teams. - On-site Test & Mission Support — Travel to test sites, customer exercises, and demonstrations to support live mission operations — flight tests, range exercises, on-water trials, satellite ground tests, and similar — including safety checks, system bring-up, and troubleshooting under time-critical constraints. - Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads. - Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. - Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. - C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards relevant to each program (e.g., UCI, OMS, STANAG 4586 for aerial systems, and program-appropriate standards for maritime and space). - Grow R&D into Programs — Work with leadership and customers to evolve successful short-term R&D efforts into larger, longer-term programs; help shape pursuit strategy and scope as programs mature. - Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, test events, and integration events). Required qualifications: - BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience - Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. - 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning). - Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers. - Track record of mentoring engineers and growing their technical skill and career trajectory. - Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. - Demonstrated ability to thrive in ambiguity — standing up new efforts with incomplete requirements, making sound decisions with limited information, and adapting to shifting deadlines and priorities. - Experience standing up autonomy on a new platform or for a new mission type (R&D, prototype, or early-stage integration efforts). - Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. - Direct experience with autonomous unmanned systems — air, maritime (USV/UUV), space, ground, or rotorcraft. - Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems. - Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. - Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses). - Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems. - Experience with autonomy simulation environments for testing and validation. - Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. - Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. - Ability to obtain a SECRET clearance. Preferred qualifications: - Experience across multiple unmanned-system domains (e.g., air + maritime, air + space, or similar). - Direct experience with autonomy for space platforms (satellites, missile defense), maritime systems (USV/UUV), or rotorcraft. - Proficiency in Python for scripting, automation, and analysis. - Experience leading a feature crew, sub-program, or small team in an unmanned systems context. - Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework. - Experience taking R&D or prototype efforts into larger production or fielded programs. - Experience integrating autonomy with custom or in-house autopilot/control stacks at the platform integration level. - Experience with payload and sensor integration on novel platforms (e.g., EO/IR, ViDAR, maritime sensors, space payloads). - Experience owning customer- or partner-facing technical relationships (e.g., platform vendors, C2 providers, government program offices). - Track record of cross-team improvements (process, rigor, documentation, or developer experience). - Familiarity with autonomy stacks, motion planning, or vehicle-control integration. - Competence in avionics/payload-computer integration, hardware-in-the-loop debugging, or comparable bring-up on novel platforms. - Experience developing for or deploying onto ARM-based systems (e.g., embedded payload computers). - Experience with containerization (e.g., Docker) on embedded or payload compute. - Proficiency in developing automation tools for system testing, logging, and data parsing. - Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity. - Comfortable interfacing with DoD stakeholders during field events or technical reviews. - Experience supporting international defense customer programs (FMS or direct commercial sales). - Experience with common message and open-systems standards such as UCI, OMS, STANAG 4586, or domain-equivalents for maritime and space. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.